Lowest Socioeconomic Status Quintile Research Articles

Race, Socioeconomic Status, and the Use of Bariatric Surgery in Michigan

Studies examining the characteristics of patients undergoing bariatric surgery in the USA have concluded that the procedure is not being used equitably. We used population-based data from Michigan to explore disparities in the use of bariatric surgery by gender, race, and socioeconomic status. We constructed a summary measure of socioeconomic status (SES) for Michigan postal ZIP codes using data from the 2000 census and divided the population into quintiles according to SES. We then used data from the state drivers' license list and 2004-2005 state inpatient and ambulatory surgery databases to examine population-based rates of morbid obesity and bariatric surgery in adults according to gender, race, and socioeconomic status. There is an inverse linear relationship between SES and morbid obesity. In the lowest SES quintile, 13% of females and 7% of males have a body mass index >40 compared to 4% of females and males in the highest SES quintile. Overall rates of bariatric surgery were highest for black females (29.4/10,000), followed by white (21.3/10,000), and other racial minority (8.6/10,000) females. Rates of bariatric surgery were low (<6/10,000) for males of all racial groups. An inverse linear relationship was observed between SES and rates of bariatric surgery among whites. However, for racial minorities, rates of surgery are lower in the lowest SES quintiles with the highest rates of bariatric surgery in the medium or highest SES quintiles. In contrast with prior studies, we do not find evidence of wide disparities in the use of bariatric surgery.

Recognising potential for preventing hospitalisation

To identify the incidence and distribution of public hospital admissions in South Australia that could potentially be prevented with appropriate use of primary care services, analysis was completed of all public hospital separations from July 2006 to June 2008 in SA. This included those classified as potentially preventable using the Australian Institute of Health and Welfare criteria for selected potentially preventable hospitalisations (SPPH), by events and by individual, with statistical local area geocoding and allocation of relative socioeconomic disadvantage quintile. A total of 744 723 public hospital separations were recorded, of which 79 424 (10.7%) were classified as potentially preventable. Of these, 59% were for chronic conditions, and 29% were derived from the bottom socioeconomic status (SES) quintile. Individuals in the lowest SES quintile were 2.5 times more likely to be admitted for a potentially preventable condition than those from the top SES quintile. Older individuals, males, those in the most disadvantaged quintiles, non-metropolitan areas and Indigenous people were more likely to have more than one preventable admission.

Improvements in survival after follicular lymphoma by race/ethnicity and socioeconomic status: a population-based study.

A recent report suggested improvements in survival after follicular lymphoma (FL), but not for all racial/ethnic groups. To better understand the reasons for these FL survival differences, we examined the joint influences of diagnostic period, race/ethnicity, and neighborhood socioeconomic status (SES) on survival in a large population-based case series. All patients (n = 15,937) diagnosed with FL between 1988 and 2005 in California were observed for vital status through November 2007. Overall and FL-specific survival were analyzed with Kaplan-Meier and Cox proportional hazards regression. Neighborhood SES was assigned from United States Census data using residence at diagnosis. Overall and FL-specific survival improved 22% and 37%, respectively, from 1988 to 1997 to 1998 to 2005, and were observed in all racial/ethnic groups. Asian/Pacific Islanders had better survival than non-Hispanic white, Hispanic, and black patients who had similar outcomes. Lower neighborhood SES was associated with worse survival in patients across all stages of disease (P for trend < .01). Patients with the lowest SES quintile had a 49% increased risk of death from all causes (hazard ratio [HR] = 1.49, 95% CI, 1.30 to 1.72) and 31% increased risk of death from FL (HR = 1.31; 95% CI, 1.06 to 1.60) than patients with the highest SES. Evolving therapies have likely led to improvements in survival after FL. Although improvements have occurred within all racial/ethnic groups, lower neighborhood SES was significantly associated with substantially poorer survival.

Socioeconomic Status and Surgical Mortality in the Elderly

Although racial disparities in the quality of surgical care are well described, the impact of socioeconomic status on operative mortality is relatively unexplored. We used Medicare data to identify all patients undergoing 1 of 6 common, high risk surgical procedures between 1999 and 2003. We constructed a summary measure of socioeconomic status for each US ZIP code using data from the 2000 US Census linked to the patient's ZIP code of residence. We assessed the effects of socioeconomic status on operative mortality rates while controlling for other patient characteristics and then examined the extent to which disparities in operative mortality could be attributed to differences in hospital factors. Socioeconomic status was a significant predictor of operative mortality for all 6 procedures in crude analyses and in those adjusted for patient characteristics. Comparing the lowest quintile of socioeconomic status to the highest, the adjusted odds ratios (OR) and 95% confidence intervals (CI) ranged from OR = 1.17; 95% CI: 1.10-1.25 for colectomy to OR = 1.39; 95% CI: 1.18-1.65 for gastrectomy. After further adjustment for hospital factors, the odds ratio associated with socioeconomic status for coronary artery bypass (OR = 1.14; 95% CI: 1.09-1.19), aortic valve replacement (OR = 1.13; 95% CI: 1.04-1.23), and mitral valve replacement (OR = 1.11; 95% CI: 1.00-1.23) were diminished, and those for lung resection (OR = 0.93; 95% CI: 0.81-1.07), colectomy (OR = 1.04; 95% CI: 0.98-1.12), and gastrectomy (OR = 1.11; 95% CI: 0.90-1.38) were reduced and also were no longer statistically significant. Within hospitals, there were only small differences in adjusted operative mortality by patient socioeconomic status. Patients with lower socioeconomic status have higher rates of adjusted operative mortality than patients with higher socioeconomic status across a wide range of surgical procedures. These disparities in surgical outcomes are largely attributable to differences between the hospitals where patients of higher and lower socioeconomic status tend to receive surgical treatment.

Relationship Between Social Inequalities and Ambulatory Care–Sensitive Hospitalizations Persists for up to 9 Years among Children Born in a Major Canadian Urban Center

Hospitalizations for ambulatory care-sensitive (ACS) conditions have been considered a marker for access to timely and effective primary care, but there are few pediatric studies. Our purpose was to examine socioeconomic disparities in ACS and non-ACS admissions among birth cohorts in a universal health insurance setting. We examined ACS and all hospitalizations of children born from 1993 to 2000 in Toronto, Canada, by birth year, calendar year, and socioeconomic status (SES). SES was evaluated by using quintiles of mean neighborhood income from the 1996 Canadian census. Cohort, age, and temporal effects were described for all admissions, ACS admissions, and specific ACS conditions. Attributable risk by SES was calculated by using rates for the highest and lowest SES quintiles. Among 255,284 children born in Toronto during 1993-2001, ACS conditions were responsible for 28% of hospitalizations during the first 2 years of life and close to half of admissions during the third year. Low income was associated with 50% higher rates of ACS hospitalizations (relative risk [RR] = 1.50, 95% confidence interval [95% CI] 1.43-1.58), including asthma (RR = 1.69, 95% CI 1.54-1.86) and bacterial pneumonia (RR = 1.59, 95% CI 1.40-1.81), the leading causes of admission. Socioeconomic disparities in ACS and all admissions occurred in every cohort, every calendar year, and every age group. The relationship between socioeconomic disadvantage and both ACS and all-cause hospitalization in children was large, consistent across many conditions, remained stable over time, and persisted up to 9 years of age. These effects occurred in a universal health insurance setting without direct financial barriers to physician or hospital care. The effect of SES on hospitalizations in children in our setting appears to be mediated by factors other than financial access to care.

Trends in coronary heart disease — has the socio-economic differential changed?

ObjectiveTo compare both trends in rates of coronary heart disease and levels of coronary risk factors between different socio-economic groups. MethodsRates of coronary events for men and women aged 25 to 69 years were estimated from a population-based register in the Lower Hunter Region of New South Wales from 1985 to 1993. Risk factor levels were estimated for men and women aged 35 to 64 years from three surveys of risk factors conducted in 1983, 1988/89 and 1994 in the same study population. ResultsThere was a decline in major coronary events from 1985 to 1993. The greatest decline was for fatal coronary events, which fell by between 4.3% and 9.1% per year. Trends in event rates were similar for all socio-economic groups, except for trends in non-fatal definite myocardial infarction among women. Women from the areas with high socioeconomic status tended to have a greater reduction in non-fatal definite myocardial infarction compared with women from low socio-economic areas. Trends in risk-factor levels were similar except the prevalence of cigarette smoking among women from the lowest quintile of socio-economic status did not decline. ConclusionPrevention strategies seem to have had a beneficial impact on this population, resulting in similar declines in rates of coronary events for all socioeconomic groups. However, event rates are still high, suggesting a further reduction in mortality and morbidity is possible. This could be achieved by further reductions in smoking, cholesterol and blood pressure, especially among people from areas with low socio-economic status.